Master of Science in Statistics (GPA: 4.0)

North Carolina State University

Raleigh, NC

05/2019 - 08/2017

• With a focus in statistical programming

Master of Science in Engineering Management CO-OP (GPA: 3.5)

Purdue University

West Lafayette, IN

05/2014 - 08/2012

Bachelor of Science in Chemical Engineering (GPA: 3.6)

Purdue University

West Lafayette, IN

05/2012 - 08/2007

• Minor in Mathematics and Economics

Principal Data Scientist

Verizon

Lake Mary, FL

Current - 08/2021

• Apply statistical models including Logistic Regression, Generalized Linear Models with Regularization (Lasso/ Ridge), CART, Random Forests, Extreme Gradient Boosted Tree to develop production ready score cuts in consumer credit and fraud red flag policy
• Wireless involuntary churn short term forecast using Python random forest model and Collection Strategy Timeline
• Wireless involuntary churn long term forecast using Python Cox proportional hazard model and gross adds
• Automate the update of Collection Strategy Timeline table by running dynamic queries generated from flow data extracted from non standardized excel files
• Build a Qlike dashboard tool with REST API to automatically update churn forecast trending vs budget to client, eliminating some manual update work
• 5G Home credit modeling and optimization to determine deposit schemes that maximize cash flow given variable costs and write off probability
• Translate R code of Loan Loss Forecasting to Python and migrate from Unix server to Domino data lab
• Cross train other team members on scorecut modeling/generation with new EFX Fraud Superscore and Neustar score
• Act as subject matter expert on probability scoring for accuracy monitoring and credit offer reconciliation against intended strategy
• Conductor of the Oxford Economics macroeconomic correlation analysis required for SOX control since 2020, in which a novel way is used to mitigate the outlier effects from highly volatile post-COVID attributes

Data Scientist

Verizon

Lake Mary, FL

08/2021 - 01/2019

• Implement Multi Adaptive Regression Spline (MARS) model to forecast performance on variable term loans in order to predict exposure at default for 6-, 30- and 36-month device payment plan loans
• Optimize FraudIQ score threshold of red flag policies to stop identity frauds from entering credit check and prevent losses (estimated with 700K to 1 million per month)
• Transform Ignite credit bureau data assets using Impala SQL in Hadoop clusters and perform quality control & data deduplication
• Initiate the use of R markdown with knitR during CECL auditing to automatically generate dynamic documents that integrates model statistics, interpretation and validation plots with inline code
• Automate data transfer between databases and SQL queries to feed a summary dataset that refreshes on a daily basis to monitor consumer wireline payment
• Develop a new scorecut automation to generate post NITP v2 score launch adapting both volume neutral and risk neutral strategy at different time
• Create new R functions for team library. Examples include size compression of big GLM model RDS objects for more efficient storage, as well as empirical probability density/ cumulative distribution functions cast on grouped data

Project Planner

Walt Disney Parks & Resorts

Lake Buena Vista, FL

01/2019 - 08/2014

• Project lead for strategic facilities planning of Disney Springs and ESPN Wide World of Sports ($15M annual)
• Develop BIRT user reports using SQL to query data and create custom functionalities with JavaScript under Eclipse IDE
• Develop Business Objects Webi reports to analyze budget investment pattern and create visualization for executive review
• Perform data cleansing and migration from a project based (Maximo) to an equipment-based database application (Tririga)
• Analyze maintenance frequency data to create lifecycle strategies for facades and swimming pools at Parks and Resorts
• Developed an interactive PowerBI Dashboard to summarize water quality and pollutant distribution of Reedy Creek rivers
• Initiated projects to replace sport field light fixtures, with a total savings of 44% of the original energy consumption
• Developed an Excel macro that automatically recalculate and plot lifecycle costs of ownership over time based on user input on lifecycle activities placement

Professional Intern

Walt Disney Parks & Resorts

Lake Buena Vista, FL

08/2014 - 09/2013

• Analyzed conditions of various property assets (e.g. roofing, light poles, HVAC systems) and predict the timing of next major maintenance or upgrade
• Collaborated with an architectural consulting firm to transform Disney roof survey results into quantifiable data, which were utilized to plot roof degradation curves for different materials
• Identified approximately 920 projectors/screens across locations and created an inventory with comprehensive specifications and warranty documentation

Special Events Intern

Indiana Black Expo

Indianapolis, IN

08/2013 - 05/2013

• Coordinated and implemented multiple large-scale events including the Employment Opportunity Fair in Indianapolis
• Maintained databases of exhibitors, managed inventory space and designed exposition spaces via ExpoCAD software

R Shiny App for Forest Fire analysis

Github

https://brianli.shinyapps.io/Forest-Fire-Investigation/

Current

Study of Biomass Torrefaction

Purdue University

West Lafayette, IN

05/2012 - 01/2012

• Applied linear regression to determine the kinetic order of Fatty Acid Methyl Ester (FAME) production and optimize yield

AICHE Chem-E-Car Design

Purdue University

West Lafayette, IN

05/2012 - 01/2012

• Drove a Lego built pneumatic engine with CO2 released in an acid-base reaction under controllable conditions. The team was awarded a second place (2/10) recognition in the regional competition held in the University of Akron